I have four columns in my dataset. The first is Order Number, the second is Number of Boxes, the third is the Packed Date, the fourth is the date it was Shipped Date. What I want to find is how many boxes I am holding in my warehouse on any given date.
So, if I have five boxes that are being packed on the 10th but shipped on the 20th and I am looking at the 15th, I'd need to count those. Do you have any ideas for how to do this (ideally in a measure)? To make matters a little more complicated, not all dates I need would appear in the dataset. For instance, if I want to look at something on the 15th but that 15th date doesn't actually pack or ship on that day, it's not there, so I'm thinking I'll need a date table to link everything together.
This is mostly working, but I wanted to post it here just in case I did something wrong, as I did have to massage the formula a little -
Current Boxes = CALCULATE(SUMX(FILTER('Pack and Hold','Pack and Hold'[Pack Date]<=max('Date'[Date]) && (ISBLANK('Pack and Hold'[Ship Date]) || 'Pack and Hold'[Ship Date]>(max('Date'[Date])-1))),('Pack and Hold'[Boxes])),CROSSFILTER('Pack and Hold'[Pack Date],'Date'[Date],None))
The main thing I changed was changing it to a sumx instead of countx and also making the ship date > max of the date -1, as I needed to include the date it was shipping as a day we are hanging onto the box, as we are hanging onto it for at least part of that day. Is that how I would do that?